Overview
Enhance your skill in building data solutions on Azure and acquire the knowledge needed for the DP-900 exam., Gain a comprehensive overview of Azure data services, understand core concepts, and explore best practices., Practice with real-exam-like questions, preparing you confidently for the Azure Data Fundamentals test., Dive deep into Azure data services, data types, and operations to ensure success in your certification exam.
Individuals specifically targeting the DP-900 certification to advance in their professional journey., IT professionals aiming to validate their skills and earn a Microsoft Azure Data Fundamentals certification., Beginners looking to get started with Azure data services and seeking foundational knowledge., Students studying IT, cloud computing, or data management and looking to supplement their academic knowledge with practical insights.
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Ace the DP-900 Exam: Dive Deep with Our Comprehensive Azure Data Fundamentals Practice Tests!
Eager to demonstrate your prowess in Azure data concepts and skills? The DP-900 exam is a pivotal stepping stone, encompassing a broad spectrum from data storage and processing to data analytics. But with the sheer breadth of the content, effective preparation is vital. That's where we come in!
Our practice test series is more than just a collection of questions. It's your ultimate toolset to conquer the DP-900. We've meticulously curated tests that not only mirror the actual exam's format and difficulty but also provide real-world context. Every question presents a scenario, making you adept at tackling any challenge the real exam throws.
Why Our Series Stands Out:
Genuine Exam Feel: Simulate the real DP-900 exam experience. No surprises on the D-day!
Real-World Questions: Immerse in questions rooted in real-world scenarios, prepping you for anything.
In-depth Explanations: Mistakes are the best teachers. Grasp detailed feedback for every question and solidify your knowledge.
Varied Test Pool: Engage with multiple exams. More practice, more confidence!
Commit to your DP-900 success. Enlist the power of our practice tests and navigate your certification journey with unparalleled confidence!
Each exam in this practice test series has been crafted based on the exam content outline defined by Microsoft
Describe core data concepts (25-30%) (12 - 15)
Identify considerations for relational data on Azure (20-25%) (10 - 13)
Describe considerations for working with non-relational data on Azure (15-20%) (7 - 10)
Describe an analytics workload on Azure (25-30%) (12 - 15)
EXAM CONTENT OUTLINE:
1. Describe core data concepts (25–30%)
1.1. Describe ways to represent data
Describe features of structured data
Describe features of semi-structured
Describe features of unstructured data
1.2. Identify options for data storage
Describe common formats for data files
Describe types of databases
1.3. Describe common data workloads
Describe features of transactional workloads
Describe features of analytical workloads
1.4. Identify roles and responsibilities for data workloads
Describe responsibilities for database administrators
Describe responsibilities for data engineers
Describe responsibilities for data analysts
2. Identify considerations for relational data on Azure (20–25%)
2.1. Describe relational concepts
Identify features of relational data
Describe normalization and why it is used
Identify common structured query language (SQL) statements
Identify common database objects
2.2. Describe relational Azure data services
Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
Identify Azure database services for open-source database systems
3. Describe considerations for working with non-relational data on Azure (15–20%)
3.1. Describe capabilities of Azure storage
Describe Azure Blob storage
Describe Azure File storage
Describe Azure Table storage
3.2. Describe capabilities and features of Azure Cosmos DB
Identify use cases for Azure Cosmos DB
Describe Azure Cosmos DB APIs
4. Describe an analytics workload on Azure (25–30%)
4.1. Describe common elements of large-scale analytics
Describe considerations for data ingestion and processing
Describe options for analytical data stores
Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
4.2. Describe consideration for real-time data analytics
Describe the difference between batch and streaming data
Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured Streaming
4.3. Describe data visualization in Microsoft Power BI
Identify capabilities of Power BI
Describe features of data models in Power BI
Identify appropriate visualizations for data
Kadir Çamoğlu, Ph. D.
Kadir Çamoğlu
PMP, CBAP, CSM, CSPO, ISTQB-FL, MCT, MCLC, MCPD, MCTS, MCSD
The author was born in Istanbul in 1974. Since 1995, he has been involved in various software projects, providing training and consultancy in the fields of database management, business intelligence, and software development. For a time, he established his own software company and also worked as a lecturer at a foundation university for three years. He currently serves as an executive advisor at one of the leading IT companies in the industry.
Starting his career as a software developer, the author later delved into areas such as business intelligence, artificial intelligence, and software quality. In recent years, he has mainly focused on topics such as software process management, agile processes, user experience design, project management, business analysis, and software quality.
The author, who has about ten published books in the field of software, also publishes articles on platforms like LinkedIn and chip_com_tr.
The author, who has been awarded the Most Valuable Professional (MVP) title by Microsoft for three consecutive years, also has a "Worldwide Excellence in Training" award given by New Horizons.